E2E Optical Remote Sensing System Engineer (W/M)

E2E Optical Remote Sensing System Engineer (W/M)

Join ABSOLUT SENSING and help shape the future of climate monitoring technologies

At ABSOLUT SENSING, we develop key technologies needed to monitor, understand, and ultimately predict climate change. Through projects that combine technological innovation and environmental impact, we offer a dynamic work environment where every contribution matters.

Our primary mission:

To reduce global methane emissions through a satellite monitoring service accessible to regulators and emitters worldwide.

What we offer :

A stimulating technical challenge

Joining ABSOLUT SENSING means working on complex and innovative projects to develop solutions that address the urgent challenges of global warming. Here, every technological breakthrough has a measurable impact in protecting our planet.

Versatility and personal impact

You will have the opportunity to explore diverse challenges, beyond traditional skill silos. Curiosity and adaptability are valued—being a ‘jack-of-all-trades’ is part of our team’s DNA.

A culture of the best idea

Here, it’s not about hierarchy or status, but the strength of ideas. The best solution wins, no matter who brought it to the table that’s how we move forward together.

An agile and accessible environment

We believe in a streamlined organization, short cycles, and fluid interactions. This setup fosters responsiveness and constructive feedback, enabling us to quickly adapt to the critical needs of our mission.

A committed and caring team

You’ll join a close-knit team united by a shared mission that goes beyond individual interests: combining technical excellence with human ethics in a collaborative setting. Everyone can realize their full potential, free from ego or unnecessary barriers, working together toward a single goal: reducing methane emissions, anticipating extreme events, and protecting the most at risk populations.

Why join us?

At ABSOLUT SENSING, every idea counts, and every project makes an impact. Join us to advance science and technology while fighting climate change. Together, we are building a sustainable future.

Role Summary

As an E2E Optical Remote Sensing System Engineer specializing in hyperspectral atmospheric missions, you ensure the full end‑to‑end performance of a mission designed to retrieve atmospheric variables (gases, aerosols, clouds) from spaceborne hyperspectral measurements. You oversee system‑level requirements, spectral/radiometric modeling, algorithmic performance, and in‑orbit validation to guarantee scientifically robust atmospheric products.

Key Responsibilities

• Develop and maintain E2E performance models for atmospheric retrieval missions, covering:
  • radiometry, SNR, spectral calibration, spectral smile/keystone
  • instrument–atmosphere interactions (gas absorption, scattering, path radiance)
  • sensitivity analyses for trace‑gas detection limits and aerosol optical properties
• Responsible for calibration and validation campaign : on‑ground characterization, in‑orbit spectral calibration, vicarious calibration campaigns, and cross‑mission intercomparisons.
• Contribute to define and manage system requirements for the instrument, platform, and ground segment to ensure atmospheric‑grade spectral accuracy and stability.
• Work closely with optical, detector, thermal, and system teams to maintain performance consistency under varying atmospheric conditions and viewing geometries.
• Support Data Processing Chain teams in the development of L1/L2 atmospheric processing chains, including:
  • radiometric/spectral correction
  • atmospheric correction and inversion
  • gas retrieval (e.g., CO₂, CH₄, NO₂, O₃)
• Provide performance assessments for mission science teams, feeding product validation, uncertainty budgets, and quality requirements.

About you

Required Skills

• Expertise in hyperspectral remote sensing, atmospheric radiative transfer, or spectroscopy.
• Strong background in radiometric/spectral performance modeling and uncertainty analysis.
• Proficiency in Python or MATLAB for simulation and retrieval‑algorithm testing.
• Understanding of AOCS effects, orbital geometry, viewing angles, and atmospheric variability.
• Familiarity with atmospheric L1/L2 algorithms (gas retrieval, aerosol inversion, cloud masking).

Profile

• Master’s degree or PhD in atmospheric science, optical engineering, spectroscopy, physics, or systems engineering.
• Experience with atmospheric missions, hyperspectral instruments, or trace‑gas satellite retrievals is strongly valued.